Benchmark profile
CTI-REALM
A cybersecurity benchmark that measures whether an agent can turn raw threat-intelligence reports into working detection rules.
Data verifiedBenchmark score on CTI-REALM — July 21, 2026
BenchLM mirrors the published score view for CTI-REALM. Fugu Cyber leads the public snapshot at 72.1%. BenchLM does not use these results to rank models overall.
Benchmark score table (1 model)
ScoreAbout CTI-REALM
Year
2026
Tasks
Threat-intelligence-to-detection-rule workflows
Format
Success rate
Difficulty
Professional cyber threat detection
Sakana AI describes CTI-REALM as a real-world security benchmark for translating cyber threat intelligence into executable detection rules. We store exact provider-reported results as display-only evidence until the benchmark owner publishes a stable, independently verifiable leaderboard artifact.
BenchLM freshness & provenance
Version
CTI-REALM 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does CTI-REALM measure?
A cybersecurity benchmark that measures whether an agent can turn raw threat-intelligence reports into working detection rules.
Which model scores highest on CTI-REALM?
Fugu Cyber by Sakana AI currently leads with a score of 72.1% on CTI-REALM.
How many models are evaluated on CTI-REALM?
1 AI models have been evaluated on CTI-REALM on BenchLM.
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.